Modular Wearable Sensor Hub for Continuous Vital Sign Monitoring
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Solution Overview
Problem
Current medical monitoring devices are complex, expensive, and limited in their ability to continuously monitor multiple vital signs, often leading to false diagnoses and delayed critical diagnosis due to reliance on single-variable ECG analysis and lack of portability and affordability.
Innovation Solution
A multi-modal body sensor system with a sensor pad, modular sensor hub, and IoT bridge for wireless data transmission, capable of real-time analysis of various body vitals, including ECG, heart rate, oxygen saturation, and acoustic data, using a microcontroller and pre-programmed instructions for data collection and transmission to a cloud service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional ECG monitoring devices are used, then cardiac monitoring capability is provided, but device complexity and cost increase, and portability decreases
Solution Approach 1:
The monitoring system is divided into separate functional modules: a wearable sensor unit with ECG electrodes, a separate processing unit, and a remote monitoring station. This segmentation allows the wearable portion to remain simple and portable while complex processing occurs remotely, resolving the contradiction between monitoring reliability and device complexity
Solution Approach 2:
A wireless communication intermediary transmits data between the wearable sensor and the processing system, eliminating the need for complex wired connections and large computing hardware at the patient location. This enables accurate monitoring without requiring complex local infrastructure
2Duration of action of moving object
If Holter monitor with extended monitoring is used, then monitoring duration is increased, but transmission delay and analysis time increase
Solution Approach 1:
The system performs preliminary real-time analysis and anomaly detection during the monitoring period, identifying clinically significant events as they occur. This preliminary action allows for immediate alerting and reduces the time loss associated with waiting for post-monitoring analysis of extended datasets
3Ease of operation
If event monitor with patient-triggered recording is used, then device simplicity is maintained, but data completeness decreases
Solution Approach 1:
The system incorporates real-time feedback mechanisms that continuously monitor ECG parameters and automatically detect clinically significant events without patient intervention. The feedback loop enables the simple wearable device to maintain ease of operation while achieving complete event detection through algorithmic analysis of incoming data streams
4Device complexity
If single-variable ECG analysis is used, then analysis simplicity is maintained, but diagnostic accuracy decreases
Solution Approach 1:
The monitoring system is designed to simultaneously collect and analyze multiple physiological parameters including ECG, oxygen saturation, respiratory rate, and activity data. This multi-functional approach enables comprehensive diagnostic accuracy without requiring separate specialized devices, resolving the contradiction between analysis complexity and measurement precision
Data Source
AI summary
The invention provides a wearable multi-modal body sensor and network for continuous health monitoring, selective recording, and transmission of various body vitals such as BPM, ECG, EEG, temperature, blood pressure, O2 saturation, body balance, etc. The selective recording can be timed and centered on the occurrence of clinically significant events detected by the monitoring system, A continuous log of all body vitals can also be stored in the system according to various scenarios. In certain embodiments, the system includes a patch wearable by the individual and including a number of sensors, A sensor module is releasably secured to the patch in connection with the sensors in order to receive the signals obtained by the sensors for ECG and EEG analysis, for example.